Triple

T9207176
Position Surface form Disambiguated ID Type / Status
Subject Coastal Andhra E221011 entity
Predicate hasSubregion P285 FINISHED
Object Guntur region E194180 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Guntur region | Statement: [Coastal Andhra, hasSubregion, Guntur region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guntur region
Context triple: [Coastal Andhra, hasSubregion, Guntur region]
  • A. Guntur district chosen
    Guntur district is an administrative region in the Indian state of Andhra Pradesh, known for its agricultural productivity, especially chili cultivation, and its historical and cultural significance.
  • B. Kakinada district
    Kakinada district is an administrative district in the Indian state of Andhra Pradesh, with its headquarters in the coastal city of Kakinada.
  • C. Guntur
    Guntur is a major city in the Indian state of Andhra Pradesh, known historically as an important administrative and commercial center in southeastern India.
  • D. Eluru district
    Eluru district is an administrative district in the Indian state of Andhra Pradesh, with its headquarters in the city of Eluru.
  • E. Nellore district
    Nellore district is an administrative region in the Indian state of Andhra Pradesh, known for its coastal location along the Bay of Bengal, agricultural productivity, and growing industrial and port-based economy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca83e9d0e081908bdb71097201a06c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd9b0b6788190908bee67a0c5d48f completed April 1, 2026, 8:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077875eac8190a020dfa38998385e completed April 4, 2026, 2:29 a.m.
Created at: March 30, 2026, 7:26 p.m.